University of Tokyo
PEAK:Programs in English at Komaba
東京大学駒場キャンパス 国際環境学コース

Bio-Demograph (人口論)
Environmental Management and Policy III/ Environmental Management and Policy II

Period : A Cemester 2021
Oct. 9 2-5 class hours, Oct. 16 2-4 class hours,
Oct. 23 2-4 class hours, Oct. 30 2-4 class hours

Bio-demography is a discipline studying the mechanism causing the transition of population structure and the increase/decrease in population size. It provides important theory for epidemiology, anthropology, population ecology and evolutionary ecology of plants and animals. Understanding the essence of the subjects relating to bio-demography cannot be attained solely by verbal reasoning, but also need via mathematical abstraction, reasoning and practical modeling. Therefore, we have to learn bio-demography as a mathematical science. In this class, we learn (i) a way of mathematical thinking, (ii) elementary knowledge of practical mathematical techniques and (iii) their application to real demographic issues of plants and animals including human. In part one, we learn the idea and method for mathematical modeling of basic process of population transition, and additionally the calculation method and interpretation of a variety of indexes that indicate population characteristics. Additionally, we learn how to study the evolution and adaptation of life history of organisms applying the basic theory of bio-demography. In part two, we learn a mathematical modeling applicable to species with various and complicated life history, and the analytical methods of real plants and animals. Furthermore, we learn the usage of database on life history pattern of biological species and how to apply the methods in conservation ecology.

Part One: Foundation of Mathematical Modeling

  • 1. Nature of individuals: Death process and birth process
  • 2. Nature of population derived from the nature of individuals
    3. Nature of individuals derived from the nature of population
    4. Application of the fundamental theory of bio-demography to the related fields

Part Two: Advanced mathematical models

  • 5. Further development of mathematical modeling applying to complex life history
    6. Basic population metrics
    7. Utilization of population database
    8. Application to conservation ecology